bayestestR-package {bayestestR}R Documentation

bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

Description

Existing R packages allow users to easily fit a large variety of models and extract and visualize the posterior draws. However, most of these packages only return a limited set of indices (e.g., point-estimates and CIs). bayestestR provides a comprehensive and consistent set of functions to analyze and describe posterior distributions generated by a variety of models objects, including popular modeling packages such as rstanarm, brms or BayesFactor.

References:

Details

bayestestR

Author(s)

Maintainer: Dominique Makowski dom.makowski@gmail.com (ORCID) (@Dom_Makowski)

Authors:

Other contributors:

See Also

Useful links:


[Package bayestestR version 0.13.1 Index]